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varun pratap Bhardwajleft a comment
Hey Product Hunt -- Varun here. I've been building multi-agent AI systems and kept running into the same problem: every project required rebuilding orchestration from scratch. Different frameworks, incompatible state management, no unified way to control cost or quality. Agents need what programs got in the 1970s -- an operating system that handles scheduling, memory, routing, and failure...
QALIXAR OSThe universal operating system for AI agents
Run AI agents from any framework through one OS. Forge AI designs teams automatically — describe your goal, it picks models, topology, and budget. 13 execution topologies with formal semantics. Judge pipeline evaluates every output. 24-tab dashboard for monitoring. Cost-quality-latency routing across 15 providers. SLM-Lite local memory. 25 MCP tools. 2,936 tests. Backed by a 20-page peer-reviewed paper : https://arxiv.org/abs/2604.06392
Install: npx qualixar-os
QALIXAR OSThe universal operating system for AI agents
varun pratap Bhardwajstarted a discussion
Launching tomorrow: An OS for AI agents (solo build, 2,936 tests, 20-page paper)
Hey PH community, Tomorrow I'm launching Qualixar OS — a runtime that handles the 80% of multi-agent AI work that isn't building agents: routing, quality control, cost tracking, memory, team design. Quick context on what this is: I was running 4 AI agents across 3 frameworks. Every day was chaos — no shared memory, no cost visibility, no quality checks. I realized agents need what programs got...
SLM Mesh is an open-source MCP server that gives AI coding agents peer-to-peer communication.
SLM Mesh fixes this with 8 MCP tools:
- Peer discovery (scoped by machine, directory, or git repo)
- Direct messaging + broadcast
- Shared key-value state
- File locking with auto-expire
- Event bus for real-time coordination
Works with Claude Code, Cursor, Aider, Windsurf, Codex, VS Code — any MCP-compatible agent.
npm install -g slm-mesh
Slm-meshYour AI coding sessions can finally talk to each other
varun pratap Bhardwajleft a comment
Hi PH! I'm Varun, and I built SLM Mesh because I was tired of being the message bus between my AI coding sessions. The core insight: every AI coding agent (Claude, Cursor, Aider) has isolated sessions. When you run 3+ in parallel, they have no way to coordinate. You end up copy-pasting context between terminals. SLM Mesh adds 8 MCP tools that let agents discover each other, send messages, share...
Slm-meshYour AI coding sessions can finally talk to each other
varun pratap Bhardwajleft a comment
I built SuperLocalMemory because I got tired of re-explaining my codebase to Claude every session. Why local-first? 1. Privacy: Your code stays on YOUR machine 2. Cost: $0/month vs $50-100/month for cloud 3. Speed: 45ms search vs 300ms cloud latency 4. Ownership: Your data, your SQLite file Happy to answer questions about the architecture or take feature requests!
SuperLocalMemory V2Free, local AI memory for Claude, Cursor & 17+ dev tools
Standalone intelligent memory system with knowledge graphs, pattern learning, and 7-layer architecture.
You re-explain your codebase, preferences, and decisions every single time.
OUR SOLUTION:
- 100% local (data never leaves your machine)
- 100% free forever (MIT license)
- Works with 17+ AI tools (Claude, Cursor, Windsurf, VS Code, Aider, Continue.dev, Zed...)
- Knowledge graph auto-discovers relationships
- Pattern learning knows your coding preferences
npm install -g superlocalmemory
SuperLocalMemory V2Free, local AI memory for Claude, Cursor & 17+ dev tools